RSSDI Repository, Complications of Diabetes Demonstration RSSDI Repository, Complications of Diabetes Demonstration

Have a Question?

If you have any question you can ask below or enter what you are looking for!

  • Home/
  • Article /
  • Exploring sodium glucose cotransporter (SGLT2) inhibitors with machine learning approach: A novel hope in anti-diabetes drug discovery.

Exploring sodium glucose cotransporter (SGLT2) inhibitors with machine learning approach: A novel hope in anti-diabetes drug discovery.

Add to Collection
2022 Mar Others Fist_Author_Year_PM

Full Author : ['Moinul, Md', 'Amin, Sk Abdul', 'Kumar, Prabhat', 'Patil, Umesh Kumar', 'Gajbhiye, Asmita', 'Jha, Tarun', 'Gayen, Shovanlal']
Journal Title : Journal of molecular graphics & modelling
Chapter : Section3
Journal Year : 2022
Cited by : Not Available

Conventional anti-diabetes agents exhibit some undesirable side effects. Recently, lactic acidosis and/or bladder cancer were also reported with the use of these agents. Hence, there is an urgent need for alternative anti-diabetes in order to reduce/avoid.....

Keywords : ["explore sodium glucose cotransporter inhibitor", "machine learn approach", "antidiabetes drug discovery", "novel hope"]